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https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-27 05:55:02 +03:00
mert/evaluator should now compute confidence interval correctly
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c8cde15137
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@ -25,6 +25,8 @@ string int2string(int n);
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bool moreFiles = false;
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bool moreScorers = false;
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float alpha = 0.05;
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void usage()
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{
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cerr<<"usage: evaluator [options] --reference ref1[,ref2[,ref3...]] --candidate cand1[,cand2[,cand3...]] "<<endl;
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@ -187,14 +189,21 @@ void evaluate(const string& candFile)
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}
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float avg = average(scores);
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float dev = stdDeviation(scores, avg);
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sort(scores.begin(), scores.end());
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int lbIdx = scores.size() * (alpha / 2);
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int rbIdx = scores.size() * (1 - alpha / 2);
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float lb = scores[lbIdx];
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float rb = scores[rbIdx];
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if (moreFiles) cout << candFile << "\t";
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if (moreScorers) cout << scorer->getName() << "\t";
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cout.setf(ios::fixed,ios::floatfield);
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cout.precision(4);
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cout << avg << " [+-" << dev << "]"<< endl;
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cout << avg << "\t[" << lb << "," << rb << "]"<< endl;
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}
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else
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{
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@ -234,12 +243,3 @@ float average(const vector<float>& list)
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return sum / list.size();
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}
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float stdDeviation(const vector<float>& list, float avg)
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{
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vector<float> tmp;
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for (vector<float>::const_iterator it = list.begin(); it != list.end(); ++it)
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tmp.push_back(pow(*it - avg, 2));
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return sqrt(average(tmp));
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}
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